摘要
针对盲灰度水印算法难以同时满足良好的不可视性和鲁棒性的情况,提出一种新的基于小波分析的盲灰度水印算法.算法利用DWT、DCT的特点及最大均方根值细节子带的较强抗攻击能力,将感知重要的水印信息嵌入到感知重要的宿主图像系数中.实验结果表明,该算法在满足大容量水印信息嵌入的同时,具有较好的不可视性和鲁棒性.
Aiming at the situation that the blind grayscale watermarking algorithms can not satisfy good invisibility and robustness simultaneously, a new blind grayscale watermarking algorithm based on wavelet analysis is proposed. The algorithm exploits the features of DWT, DCT and the strong ability against attacks of detailed subband with maximum root mean square (RMS), and then embeds the perceptually significant watermark information into the host image coefficients which are important on perception. The experimental results show the algorithm has the better invisibility and robustness while it meets the large-capacity data embedding.
出处
《郑州大学学报(理学版)》
CAS
北大核心
2010年第2期53-56,共4页
Journal of Zhengzhou University:Natural Science Edition
基金
国家自然科学基金资助项目
编号60863012
关键词
灰度水印
小波分析
均方根
盲提取
grayscale watermarking
wavelet analysis
root mean square(RMS)
blind extraction